Works matching IS 17521416 AND DT 2022 AND VI 16 AND IP 7
Results: 17
Applications of artificial intelligence in renewable energy systems.
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- IET Renewable Power Generation (Wiley-Blackwell), 2022, v. 16, n. 7, p. 1279, doi. 10.1049/rpg2.12479
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Data‐model driven rescheduling considering both rotor angle stability and transient voltage stability constraints.
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- IET Renewable Power Generation (Wiley-Blackwell), 2022, v. 16, n. 7, p. 1509, doi. 10.1049/rpg2.12443
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Active and passive hybrid detection method for power CPS false data injection attacks with improved AKF and GRU‐CNN.
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- IET Renewable Power Generation (Wiley-Blackwell), 2022, v. 16, n. 7, p. 1490, doi. 10.1049/rpg2.12432
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Few‐shot learning based multi‐weather‐condition impedance identification for MPPT‐controlled PV converters.
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- IET Renewable Power Generation (Wiley-Blackwell), 2022, v. 16, n. 7, p. 1345, doi. 10.1049/rpg2.12430
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Dynamic exploitation Gaussian bare‐bones bat algorithm for optimal reactive power dispatch to improve the safety and stability of power system.
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- IET Renewable Power Generation (Wiley-Blackwell), 2022, v. 16, n. 7, p. 1401, doi. 10.1049/rpg2.12428
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A deep‐learning based solar irradiance forecast using missing data.
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- IET Renewable Power Generation (Wiley-Blackwell), 2022, v. 16, n. 7, p. 1462, doi. 10.1049/rpg2.12408
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Carbon emission flow oriented multitasking multi‐objective optimization of electricity‐hydrogen integrated energy system.
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- IET Renewable Power Generation (Wiley-Blackwell), 2022, v. 16, n. 7, p. 1474, doi. 10.1049/rpg2.12402
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A 'spatial‐temporal' bi‐layer optimal control strategy of large‐scale electric vehicles (EVs) in a multi‐area Virtual Power Plant (VPP) oriented to dual carbon target.
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- IET Renewable Power Generation (Wiley-Blackwell), 2022, v. 16, n. 7, p. 1445, doi. 10.1049/rpg2.12390
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A compressed sensing and CNN‐based method for fault diagnosis of photovoltaic inverters in edge computing scenarios.
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- IET Renewable Power Generation (Wiley-Blackwell), 2022, v. 16, n. 7, p. 1434, doi. 10.1049/rpg2.12383
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Fault detection and classification on insulated overhead conductors based on MCNN‐LSTM.
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- IET Renewable Power Generation (Wiley-Blackwell), 2022, v. 16, n. 7, p. 1425, doi. 10.1049/rpg2.12380
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Research on short‐term and mid‐long term optimal dispatch of multi‐energy complementary power generation system.
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- IET Renewable Power Generation (Wiley-Blackwell), 2022, v. 16, n. 7, p. 1354, doi. 10.1049/rpg2.12366
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An effective model parameter estimation of PEMFCs using GWO algorithm and its variants.
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- IET Renewable Power Generation (Wiley-Blackwell), 2022, v. 16, n. 7, p. 1380, doi. 10.1049/rpg2.12359
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Long short‐term memory‐based robust and qualitative modal feature identification of non‐stationary low‐frequency oscillation signals in power systems.
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- IET Renewable Power Generation (Wiley-Blackwell), 2022, v. 16, n. 7, p. 1368, doi. 10.1049/rpg2.12352
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Design and analysis of genetic algorithm and BP neural network based PID control for boost converter applied in renewable power generations.
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- IET Renewable Power Generation (Wiley-Blackwell), 2022, v. 16, n. 7, p. 1336, doi. 10.1049/rpg2.12320
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Distributed deep reinforcement learning for integrated generation‐control and power‐dispatch of interconnected power grid with various renewable units.
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- IET Renewable Power Generation (Wiley-Blackwell), 2022, v. 16, n. 7, p. 1316, doi. 10.1049/rpg2.12310
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Cluster division in wind farm through ensemble modelling.
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- IET Renewable Power Generation (Wiley-Blackwell), 2022, v. 16, n. 7, p. 1299, doi. 10.1049/rpg2.12276
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Data‐driven optimal PEMFC temperature control via curriculum guidance strategy‐based large‐scale deep reinforcement learning.
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- IET Renewable Power Generation (Wiley-Blackwell), 2022, v. 16, n. 7, p. 1283, doi. 10.1049/rpg2.12240
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